Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Классическая обоснованная теория продольных исследований× | Продольный качественный контент-анализ× | |
|---|---|---|
| Область | Качественные методы | Качественные методы |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1967 (classic GT); longitudinal application developed from 1980s onward | 2000s–2010s |
| Автор метода≠ | Barney G. Glaser and Anselm L. Strauss (classic GT); longitudinal extension by later methodologists | Philipp Mayring (foundational QCA); longitudinal extension developed across qualitative health and social research traditions |
| Тип≠ | Qualitative longitudinal research design | Qualitative analytical method |
| Основополагающий источник≠ | Glaser, B. G., & Strauss, A. L. (1967). The Discovery of Grounded Theory: Strategies for Qualitative Research. Aldine. ISBN: 978-0202302607 | Mayring, P. (2000). Qualitative content analysis. Forum: Qualitative Social Research, 1(2), Art. 20. link ↗ |
| Другие названия | Longitudinal CGT, Glaserian longitudinal grounded theory, classic GT longitudinal design, longitudinal substantive theory building | LQCA, longitudinal QCA, repeated qualitative content analysis, panel qualitative content analysis |
| Связанные≠ | 6 | 3 |
| Сводка≠ | Longitudinal Classic Grounded Theory applies Glaser and Strauss's original discovery-oriented grounded theory method across two or more data collection waves separated by time. The approach tracks how social processes, behaviors, and conceptual categories evolve, allowing the researcher to build a substantive theory that captures change and continuity rather than a single static snapshot of a phenomenon. | Longitudinal qualitative content analysis (LQCA) applies systematic content analysis to text data gathered from the same participants, settings, or documents at two or more points in time. The method preserves the interpretive rigour of qualitative content analysis while adding an explicit temporal dimension, enabling researchers to track how meanings, experiences, categories, or discourse shift, deepen, or stabilise across time rather than producing a single-point-in-time description. |
| ScholarGateНабор данных ↗ |
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